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2020 – today
- 2025
[j5]João Capela, Maria Zimmermann-Kogadeeva, Aalt D. J. van Dijk, Dick de Ridder, Oscar Dias, Miguel Rocha:
Comparative Assessment of Protein Large Language Models for Enzyme Commission Number Prediction. BMC Bioinform. 26(1): 68 (2025)- [j4]João Capela, João Cheixo, Dick de Ridder, Oscar Dias
, Miguel Rocha:
Predicting precursors of plant specialized metabolites using DeepMol automated machine learning. J. Integr. Bioinform. 22(2) (2025) - 2024
- [j3]João Correia, João Capela, Miguel Rocha:
Deepmol: an automated machine and deep learning framework for computational chemistry. J. Cheminformatics 16(1): 136 (2024) - [j2]Fernando Cruz, João Capela, Eugénio C. Ferreira, Miguel Rocha, Oscar Dias:
BioISO: An Objective-Oriented Application for Assisting the Curation of Genome-Scale Metabolic Models. IEEE ACM Trans. Comput. Biol. Bioinform. 21(2): 215-226 (2024) - 2022
- [j1]Alexandre Oliveira, Emanuel Cunha, Fernando Cruz, João Capela, João Carlos Sequeira, Marta Sampaio, Cláudia Sampaio, Oscar Dias:
Systematic assessment of template-based genome-scale metabolic models created with the BiGG Integration Tool. J. Integr. Bioinform. 19(3) (2022) - [c2]João Capela, João Correia, Vitor Pereira, Miguel Rocha:
Development of Deep Learning approaches to predict relationships between chemical structures and sweetness. IJCNN 2022: 1-8 - 2021
- [c1]Alexandre Oliveira, Emanuel Cunha, Fernando Cruz, João Capela, João Carlos Sequeira, Marta Sampaio, Oscar Dias:
Towards a Multivariate Analysis of Genome-Scale Metabolic Models Derived from the BiGG Models Database. PACBB 2021: 136-144
Coauthor Index
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